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64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
import argparse
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import logging
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import sys
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import gym
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from gym import wrappers
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class RandomAgent(object):
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"""The world's simplest agent!"""
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def __init__(self, action_space):
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self.action_space = action_space
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def act(self, observation, reward, done):
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return self.action_space.sample()
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description=None)
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parser.add_argument('env_id', nargs='?', default='CartPole-v0', help='Select the environment to run')
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args = parser.parse_args()
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# Call `undo_logger_setup` if you want to undo Gym's logger setup
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# and configure things manually. (The default should be fine most
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# of the time.)
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gym.undo_logger_setup()
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logger = logging.getLogger()
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formatter = logging.Formatter('[%(asctime)s] %(message)s')
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handler = logging.StreamHandler(sys.stderr)
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handler.setFormatter(formatter)
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logger.addHandler(handler)
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# You can set the level to logging.DEBUG or logging.WARN if you
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# want to change the amount of output.
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logger.setLevel(logging.INFO)
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env = gym.make(args.env_id)
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# You provide the directory to write to (can be an existing
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# directory, including one with existing data -- all monitor files
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# will be namespaced). You can also dump to a tempdir if you'd
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# like: tempfile.mkdtemp().
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outdir = '/tmp/random-agent-results'
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env = wrappers.Monitor(env, directory=outdir, force=True)
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env.seed(0)
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agent = RandomAgent(env.action_space)
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episode_count = 100
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reward = 0
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done = False
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for i in range(episode_count):
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ob = env.reset()
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while True:
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action = agent.act(ob, reward, done)
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ob, reward, done, _ = env.step(action)
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if done:
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break
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# Note there's no env.render() here. But the environment still can open window and
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# render if asked by env.monitor: it calls env.render('rgb_array') to record video.
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# Video is not recorded every episode, see capped_cubic_video_schedule for details.
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# Close the env and write monitor result info to disk
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env.close()
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